Book/Dissertation / PhD Thesis FZJ-2022-04358

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Dynamical and statistical structure of spatially organized neuronal networks



2022
Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag Jülich
ISBN: 978-3-95806-651-9

Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich Reihe Information / Information 85, xiii, 165 () = Dissertation, RWTH Aachen University, 2022

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Abstract: The cerebral cortex, the outer layer of mammalian brains, comprises a vast number of neurons arranged and connected in a highly organized fashion. The likelihood of neurons to be connected and how fast they may exchange signals depends, among other properties, on their spatial distance. Cortical networks may be well described as completely random networks on microscopic scales because cortical neurons have essentially uniform connection probabilities within a few tens of micrometers. However, the distance-dependence of neuronal connections certainly is important on mesoscopic scales spanning several millimeters, where many neurons are most likely unconnected. While the theory of random networks is already well-established, how such a spatial organization affects a network’s activity is not yet fully understood. The objectiveof this thesis is to provide an overview of the current analytical understanding of spatially organized networks on a mesoscopic scale, as well as to advance this understanding with three studies covering complementary aspects of spatially organized network theory.


Note: Dissertation, RWTH Aachen University, 2022

Contributing Institute(s):
  1. Computational and Systems Neuroscience (INM-6)
  2. Theoretical Neuroscience (IAS-6)

Appears in the scientific report 2022
Database coverage:
Creative Commons Attribution CC BY 4.0 ; OpenAccess
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The record appears in these collections:
Institute Collections > IAS > IAS-6
Institute Collections > INM > INM-6
Document types > Theses > Ph.D. Theses
Document types > Books > Books
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 Record created 2022-11-07, last modified 2024-03-13